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            The Evolving Peer Review Standards


            In addition to establishing a system of pre-print
            archives, the internet and large databases
            enabled journals to publish a vast amount of
            articles. The launch of open-access journal
            PLoS ONE by the Public Library of Science
            (PLoS) in 2006 was a significant step forward
            in this regard. As part of the journal's review
            process/business model, reviewers were
            asked to base their acceptance or rejection
            recommendations merely on the soundness
            and validity of the study. PLoS ONE has
            been one of the fastest-growing publication
            platforms ever since. Other publishers and
            journals, including SAGE Open and BMJ Open,
            followed suit to adopt the same non-restrictive
            review model.



            The scholarly community witnessed a sudden surge in the number of manuscripts published
            in outlets using this non-restrictive review model. This sudden surge could be primarily
            attributed to the less restrictive review procedure, resulting in new challenges in the
            publication process. Finding enough qualified reviewers to manage submissions is one of
            the challenges. Additionally, the large number of published papers raised concerns that the
            scientific literature may become unmanageable due to an oversupply of papers. This
            generated an increasing need for further screening to guarantee that academics can deal
            with the massive quantity of potentially relevant papers. With this came the need to
            develop innovative techniques to direct readers' attention to papers that are most likely to
            benefit them.


            Implementing Software Tools in the Review Process


            New digital technologies provided specialized technical assistance in determining whether or
            not articles were publishable.

            The plagiarism detection software was the first essential component of technical aid to
            be employed in peer review. The initial versions of plagiarism detection algorithms were
            developed in the context of computer code copying rather than literary plagiarism. Only later
            did this grow into plagiarism detection systems for publications to detect unjustified copying
            in research articles. A majority of publishers and journals today utilize some sort of plagiarism
            detection programme to support peer review.


            Apart from plagiarism detection, online tools have lately emerged to help reviewers in a variety
            of different ways. Artificial intelligence technology is being widely used to create software
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